Reputation: 2238
We are on HDP 2.4.2, with spark 1.6 compiled with Scala 2.10.5. Hbase is version 1.1.2.2.4.2.0-258
The environment is a basic dev cluster (<10 nodes) with hbase & spark running in cluster mode.
Attempts to use spark hbase connector for getting soem data from hbase into a data frame in spark are failing with the following error -
Exception in thread "main" java.lang.UnsupportedOperationException: empty.tail
at scala.collection.TraversableLike$class.tail(TraversableLike.scala:445)
at scala.collection.mutable.ArraySeq.scala$collection$IndexedSeqOptimized$super$tail(ArraySeq.scala:45)
at scala.collection.IndexedSeqOptimized$class.tail(IndexedSeqOptimized.scala:123)
at scala.collection.mutable.ArraySeq.tail(ArraySeq.scala:45)
at org.apache.spark.sql.execution.datasources.hbase.HBaseTableCatalog.initRowKey(HBaseTableCatalog.scala:150)
at org.apache.spark.sql.execution.datasources.hbase.HBaseTableCatalog.<init>(HBaseTableCatalog.scala:164)
at org.apache.spark.sql.execution.datasources.hbase.HBaseTableCatalog$.apply(HBaseTableCatalog.scala:239)
at hbaseReaderHDPCon$.main(hbaseReaderHDPCon.scala:42)
at hbaseReaderHDPCon.main(hbaseReaderHDPCon.scala)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:497)
at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$runMain(SparkSubmit.scala:731)
at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:181)
at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:206)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:121)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
At line 42 in my code - this is happening -
val cat =
s"""{
|"table":{"namespace":"myTable", "name":"person", "tableCoder":"PrimitiveType"},
|"rowkey":"ROW",
|"columns":{
|"col0":{"cf":"person", "col":"detail", "type":"string"}
|}
|}""".stripMargin
val scon = new SparkConf()
val sparkContext = new SparkContext(scon)
Upvotes: 4
Views: 2631
Reputation: 962
Given your code, I think the field "columns" in your catalog is missing the rowkey. Below an exemple which works for me. I'm using Spark 2.0 (SparkSession) but it should work with Spark 1.6 :
val catalog =
s"""{
|"table":{"namespace":"default", "name":"person"},
|"rowkey":"id",
|"columns":{
|"id":{"cf":"rowkey", "col":"id", "type":"string"},
|"name":{"cf":"info", "col":"name", "type":"string"},
|"age":{"cf":"info", "col":"age", "type":"string"}
|}
|}""".stripMargin
val spark = SparkSession
.builder()
.appName("HbaseWriteTest")
.getOrCreate()
val df = spark
.read
.options(
Map(
HBaseTableCatalog.tableCatalog -> catalog
)
)
.format("org.apache.spark.sql.execution.datasources.hbase")
.load()
Upvotes: 6